from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(against_lib="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 1.955136 | 0.108803 | NaN | ... | brute | -1 | 1 | 0.663 | 0.343924 | 0.006344 | 1.000 | 5.684795 | 5.685762 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.022132 | 0.002733 | NaN | ... | brute | -1 | 1 | 1.000 | 19.093011 | 0.076671 | 0.757 | 0.001159 | 0.001159 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.860174 | 0.070873 | NaN | ... | brute | -1 | 5 | 0.757 | 19.688178 | 0.462467 | 0.882 | 0.145274 | 0.145314 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.213675 | 0.038159 | NaN | ... | brute | 1 | 100 | 0.882 | 0.367369 | 0.009581 | 1.000 | 6.025749 | 6.027798 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.020864 | 0.002022 | NaN | ... | brute | 1 | 100 | 1.000 | 19.904517 | 0.004004 | 0.757 | 0.001048 | 0.001048 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.993470 | 0.054501 | NaN | ... | brute | -1 | 100 | 0.882 | 19.381075 | 0.256970 | 0.663 | 0.154453 | 0.154467 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.280282 | 0.030067 | NaN | ... | brute | 1 | 5 | 0.757 | 0.263199 | 0.009533 | 1.000 | 8.663719 | 8.669400 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.020747 | 0.000457 | NaN | ... | brute | 1 | 5 | 1.000 | 4.084575 | 0.129852 | 0.922 | 0.005079 | 0.005082 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.184285 | 0.008049 | NaN | ... | brute | 1 | 1 | 0.663 | 4.320357 | 0.043528 | 0.929 | 0.274117 | 0.274131 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.733147 | 0.027726 | NaN | ... | brute | -1 | 1 | 0.896 | 0.266812 | 0.007035 | 1.000 | 6.495768 | 6.498026 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.005129 | 0.003518 | NaN | ... | brute | -1 | 1 | 1.000 | 4.094661 | 0.056834 | 0.922 | 0.001253 | 0.001253 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.847563 | 0.058336 | NaN | ... | brute | -1 | 5 | 0.922 | 4.219127 | 0.078700 | 0.896 | 0.674918 | 0.675035 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.241 | 0.0 | -1 | 1 | 19.059 | 0.307 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.210 | 0.0 | -1 | 5 | 0.341 | 0.014 | 1.000 | 0.033 | 0.033 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.001 | 6.699 | 0.0 | 1 | 100 | 19.087 | 0.290 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.016 | 0.0 | -1 | 100 | 0.363 | 0.007 | 1.000 | 0.031 | 0.031 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.001 | 6.765 | 0.0 | 1 | 5 | 4.090 | 0.069 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.012 | 0.000 | 6.885 | 0.0 | 1 | 1 | 0.282 | 0.006 | 1.000 | 0.041 | 0.041 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.353 | 0.0 | -1 | 1 | 4.233 | 0.053 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.001 | 0.323 | 0.0 | -1 | 5 | 0.268 | 0.007 | 1.000 | 0.019 | 0.019 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.955 | 0.109 | 0.000 | 0.002 | -1 | 1 | 0.344 | 0.006 | 1.000 | 5.685 | 5.686 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.003 | 0.000 | 0.022 | -1 | 1 | 19.093 | 0.077 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.860 | 0.071 | 0.000 | 0.003 | -1 | 5 | 19.688 | 0.462 | 0.882 | 0.145 | 0.145 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.003 | 0.000 | 0.024 | -1 | 5 | 0.348 | 0.014 | 1.000 | 0.070 | 0.070 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.214 | 0.038 | 0.000 | 0.002 | 1 | 100 | 0.367 | 0.010 | 1.000 | 6.026 | 6.028 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.002 | 0.000 | 0.021 | 1 | 100 | 19.905 | 0.004 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.993 | 0.055 | 0.000 | 0.003 | -1 | 100 | 19.381 | 0.257 | 0.663 | 0.154 | 0.154 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.003 | 0.000 | 0.026 | -1 | 100 | 0.334 | 0.013 | 1.000 | 0.077 | 0.077 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.280 | 0.030 | 0.000 | 0.002 | 1 | 5 | 0.263 | 0.010 | 1.000 | 8.664 | 8.669 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.000 | 0.000 | 0.021 | 1 | 5 | 4.085 | 0.130 | 0.922 | 0.005 | 0.005 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.184 | 0.008 | 0.001 | 0.001 | 1 | 1 | 4.320 | 0.044 | 0.929 | 0.274 | 0.274 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.001 | 0.000 | 0.019 | 1 | 1 | 0.279 | 0.007 | 1.000 | 0.070 | 0.070 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.733 | 0.028 | 0.000 | 0.002 | -1 | 1 | 0.267 | 0.007 | 1.000 | 6.496 | 6.498 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.005 | 0.004 | 0.000 | 0.005 | -1 | 1 | 4.095 | 0.057 | 0.922 | 0.001 | 0.001 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.848 | 0.058 | 0.000 | 0.003 | -1 | 5 | 4.219 | 0.079 | 0.896 | 0.675 | 0.675 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | 0.000 | 0.006 | -1 | 5 | 0.284 | 0.005 | 1.000 | 0.021 | 0.021 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.850513 | 1.064081 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.912771 | 0.234533 | 1.000 | 0.291994 | 0.292939 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002804 | 0.000760 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 127.467108 | 0.000000 | 0.946 | 0.000022 | 0.000022 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 1.079550 | 0.386281 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 132.711713 | 0.000000 | 0.951 | 0.008135 | 0.008135 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 5.637007 | 0.623787 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 3.015049 | 0.230952 | 1.000 | 1.869624 | 1.875101 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003605 | 0.000913 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 126.783379 | 0.000000 | 0.946 | 0.000028 | 0.000028 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 3.259656 | 0.234377 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 128.190496 | 0.000000 | 0.929 | 0.025428 | 0.025428 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.595688 | 0.171253 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.006028 | 0.000248 | 1.000 | 264.712076 | 264.935520 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001597 | 0.000426 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.046574 | 0.012624 | 0.911 | 0.034296 | 0.035533 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.939030 | 0.361407 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.075308 | 0.015822 | 0.894 | 12.469257 | 12.741481 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.029046 | 0.015580 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.006052 | 0.000283 | 1.000 | 4.799086 | 4.804328 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.002461 | 0.000477 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.043700 | 0.000469 | 0.911 | 0.056320 | 0.056323 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.024962 | 0.001064 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.043073 | 0.000630 | 0.891 | 0.579517 | 0.579578 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 2.982 | 0.061 | 0.027 | 0.0 | -1 | 1 | 127.529 | 0.000 | 0.929 | 0.023 | 0.023 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.731 | 0.078 | 0.021 | 0.0 | -1 | 5 | 2.963 | 0.228 | 1.000 | 1.259 | 1.263 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.876 | 0.067 | 0.021 | 0.0 | 1 | 100 | 134.116 | 0.000 | 0.951 | 0.029 | 0.029 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.019 | 0.131 | 0.020 | 0.0 | -1 | 100 | 2.975 | 0.196 | 1.000 | 1.351 | 1.354 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.941 | 0.122 | 0.020 | 0.0 | 1 | 5 | 0.048 | 0.012 | 0.891 | 82.946 | 85.341 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.780 | 0.108 | 0.021 | 0.0 | 1 | 1 | 0.006 | 0.000 | 1.000 | 662.469 | 662.895 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.018 | 0.0 | -1 | 1 | 0.071 | 0.004 | 0.894 | 0.013 | 0.013 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.026 | 0.0 | -1 | 5 | 0.006 | 0.000 | 1.000 | 0.104 | 0.104 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.851 | 1.064 | 0.000 | 0.001 | -1 | 1 | 2.913 | 0.235 | 1.000 | 0.292 | 0.293 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 127.467 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.080 | 0.386 | 0.000 | 0.001 | -1 | 5 | 132.712 | 0.000 | 0.951 | 0.008 | 0.008 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 3.116 | 0.211 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.637 | 0.624 | 0.000 | 0.006 | 1 | 100 | 3.015 | 0.231 | 1.000 | 1.870 | 1.875 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | 0.000 | 0.004 | 1 | 100 | 126.783 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.260 | 0.234 | 0.000 | 0.003 | -1 | 100 | 128.190 | 0.000 | 0.929 | 0.025 | 0.025 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.002 | 0.000 | 0.005 | -1 | 100 | 2.947 | 0.222 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.596 | 0.171 | 0.000 | 0.002 | 1 | 5 | 0.006 | 0.000 | 1.000 | 264.712 | 264.936 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.047 | 0.013 | 0.911 | 0.034 | 0.036 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.939 | 0.361 | 0.000 | 0.001 | 1 | 1 | 0.075 | 0.016 | 0.894 | 12.469 | 12.741 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.006 | 0.000 | 1.000 | 0.172 | 0.172 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.029 | 0.016 | 0.001 | 0.000 | -1 | 1 | 0.006 | 0.000 | 1.000 | 4.799 | 4.804 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.044 | 0.000 | 0.911 | 0.056 | 0.056 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.043 | 0.001 | 0.891 | 0.580 | 0.580 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.006 | 0.000 | 1.000 | 0.363 | 0.363 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.129184 | 0.005887 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.435038 | 0.013749 | 1.0 | 0.296949 | 0.297098 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 107.252 | 0.0 | 300 | 0.001 | 0.001 | 0.527 | 0.026 | 0.824 | 203.497 | 203.744 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.129 | 0.006 | 300 | 0.006 | 0.0 | 0.435 | 0.014 | 1.0 | 0.297 | 0.297 | See | See |